弾性検索戻り値が正しくありませんか？

Question

私は検索に使用して、この

{ 
    "_index" : "sokhop", 
    "_type" : "jobs", 
    "_id" : "14", 
    "_score" : 1.0, 
    "_source" : { 
    "job_salary" : "2000000 - 10", 
    "job_bonus" : "> 5909990", 
    "job_location" : [ { 
     "province_name" : "tay ho", 
     "district" : "", 
     "province_value" : "Tay Ho", 
     "street" : "", 
     "province_id" : 130, 
     "number" : "", 
     "job_id" : 14 
    } ], 
    "job_created_at" : "2016-10-14T10:01:45.000Z", 
    "job_exclude_condition" : [ ], 
    "job_expired_time" : "2000-01-01T00:00:00.000Z", 
    "job_skills" : "", 
    "job_owner_id" : 2, 
    "job_position" : { 
     "pos_value" : "LTV", 
     "pos_id" : 1, 
     "pos_name" : "ltv" 
    }, 
    "job_time_type" : 2, 
    "job_isactive" : 1, 
    "job_description" : "", 
    "job_categories" : [ ], 
    "job_year_exps" : "1 Năm", 
    "salary" : { 
     "job_allowance" : { 
     "min" : 4000000, 
     "max" : -1 
     }, 
     "job_bonus" : { 
     "min" : 5909990, 
     "max" : -1 
     }, 
     "job_salary" : { 
     "min" : 2000000, 
     "max" : 10 
     } 
    }, 
    "job_gender" : 1, 
    "job_status" : 2, 
    "job_languages" : [ { 
     "lang_name" : "english", 
     "lang_code" : "en", 
     "job_id" : 14, 
     "lang_id" : 1, 
     "lang_updated_at" : "2016-10-08T09:47:49.000Z", 
     "lang_created_at" : "2016-10-08T09:47:49.000Z" 
    } ], 
    "job_id" : 14, 
    "job_extra_desc" : "", 
    "job_allowance" : "> 4000000", 
    "job_require_condition" : [ ], 
    "job_work_location" : "[{\"district\":\"\",\"province\":130,\"number\":\"\",\"street\":\"\"}]", 
    "job_updated_at" : "2016-10-18T03:20:38.000Z", 
    "job_language_profile" : "en", 
    "job_title" : "Tin", 
    "job_position_id" : 1 
    } 
}, 

私のクエリのようなelasticsearchの文書を持っているが、それが正常に動作し

{ 
    "query": { 
    "bool": { 
     "must": [ 
     { 
      "match": { 
      "job_location.province_id": "130" 
      } 
     }, 
     { 
      "match": { 
      "job_position.pos_id": "1" 
      } 
     } 
     ], 
     "filter": [ 
     { 
      "range": { 
      "salary.job_salary.min": { 
       "gte": 20000 
      } 
      } 
     }, 
     { 
      "term": { 
      "salary.job_salary.max": 10 
      } 
     } 
     ] 
    } 
    } 
} 

OKです！しかし、時に変更条件

  "gte": 50000 

または300000,40000にすべての数はすぐに2 elasticsearchで始まる空の配列は[]

ここでUPDATE

は、すべての結果で返しません私のelasticsearchから来た ==>elasticsearch_result

どのように私はそれをresloveすることができますか？

Answer 1

マッピングによれば、問題はsalary.job_salary.minフィールドがタイプ文字列であることです。この問題を解決するために

"job_salary":{"properties":{"max":{"type":"string"},"min":{"type":"string"}} 

文字列フィールド上range問い合わせ番号順になりませんソート数値に、しかし、辞書順に、すなわち「50000」は「2000000000」の後に来る

唯一の方法は、削除することです適切なデータ型で適切なマッピングを作成します。

DELETE sokhop 

PUT sokhop 
{ 
    "mappings": { 
     "jobs": { 
     "properties": { 
      "job_allowance": { 
      "type": "string" 
      }, 
      "job_apply_number": { 
      "type": "long" 
      }, 
      "job_apply_numbers": { 
      "type": "long" 
      }, 
      "job_bonus": { 
      "type": "string" 
      }, 
      "job_categories": { 
      "properties": { 
       "jca_created_at": { 
       "type": "date", 
       "format": "strict_date_optional_time||epoch_millis" 
       }, 
       "jca_id": { 
       "type": "long" 
       }, 
       "jca_name": { 
       "type": "string" 
       }, 
       "jca_updated_at": { 
       "type": "date", 
       "format": "strict_date_optional_time||epoch_millis" 
       }, 
       "jca_value": { 
       "type": "string" 
       }, 
       "job_id": { 
       "type": "long" 
       } 
      } 
      }, 
      "job_company_id": { 
      "type": "long" 
      }, 
      "job_created_at": { 
      "type": "date", 
      "format": "strict_date_optional_time||epoch_millis" 
      }, 
      "job_description": { 
      "type": "string" 
      }, 
      "job_exclude_condition": { 
      "properties": { 
       "jexca_created_at": { 
       "type": "date", 
       "format": "strict_date_optional_time||epoch_millis" 
       }, 
       "jexca_id": { 
       "type": "long" 
       }, 
       "jexca_name": { 
       "type": "string" 
       }, 
       "jexca_updated_at": { 
       "type": "date", 
       "format": "strict_date_optional_time||epoch_millis" 
       }, 
       "jexcon_value": { 
       "type": "string" 
       }, 
       "job_id": { 
       "type": "long" 
       } 
      } 
      }, 
      "job_expired_time": { 
      "type": "date", 
      "format": "strict_date_optional_time||epoch_millis" 
      }, 
      "job_extra_desc": { 
      "type": "string" 
      }, 
      "job_gender": { 
      "type": "long" 
      }, 
      "job_id": { 
      "type": "long" 
      }, 
      "job_isactive": { 
      "type": "long" 
      }, 
      "job_language_profile": { 
      "type": "string" 
      }, 
      "job_languages": { 
      "properties": { 
       "job_id": { 
       "type": "long" 
       }, 
       "lang_code": { 
       "type": "string" 
       }, 
       "lang_created_at": { 
       "type": "date", 
       "format": "strict_date_optional_time||epoch_millis" 
       }, 
       "lang_id": { 
       "type": "long" 
       }, 
       "lang_name": { 
       "type": "string" 
       }, 
       "lang_updated_at": { 
       "type": "date", 
       "format": "strict_date_optional_time||epoch_millis" 
       } 
      } 
      }, 
      "job_location": { 
      "properties": { 
       "district": { 
       "type": "string" 
       }, 
       "job_id": { 
       "type": "long" 
       }, 
       "number": { 
       "type": "string" 
       }, 
       "province_id": { 
       "type": "long" 
       }, 
       "province_name": { 
       "type": "string" 
       }, 
       "province_value": { 
       "type": "string" 
       }, 
       "street": { 
       "type": "string" 
       } 
      } 
      }, 
      "job_owner_id": { 
      "type": "long" 
      }, 
      "job_position": { 
      "properties": { 
       "pos_id": { 
       "type": "long" 
       }, 
       "pos_name": { 
       "type": "string" 
       }, 
       "pos_value": { 
       "type": "string" 
       } 
      } 
      }, 
      "job_position_id": { 
      "type": "long" 
      }, 
      "job_quantity": { 
      "type": "long" 
      }, 
      "job_range_allowance_id": { 
      "type": "long" 
      }, 
      "job_range_bonus_id": { 
      "type": "long" 
      }, 
      "job_range_salary_id": { 
      "type": "long" 
      }, 
      "job_require_condition": { 
      "properties": { 
       "jexca_created_at": { 
       "type": "date", 
       "format": "strict_date_optional_time||epoch_millis" 
       }, 
       "jexca_id": { 
       "type": "long" 
       }, 
       "jexca_name": { 
       "type": "string" 
       }, 
       "jexca_updated_at": { 
       "type": "date", 
       "format": "strict_date_optional_time||epoch_millis" 
       }, 
       "jexcon_value": { 
       "type": "string" 
       }, 
       "job_id": { 
       "type": "long" 
       } 
      } 
      }, 
      "job_salary": { 
      "type": "string" 
      }, 
      "job_skills": { 
      "type": "string" 
      }, 
      "job_status": { 
      "type": "long" 
      }, 
      "job_time_type": { 
      "type": "long" 
      }, 
      "job_title": { 
      "type": "string" 
      }, 
      "job_updated_at": { 
      "type": "date", 
      "format": "strict_date_optional_time||epoch_millis" 
      }, 
      "job_views_number": { 
      "type": "long" 
      }, 
      "job_work_location": { 
      "type": "string" 
      }, 
      "job_year_exps": { 
      "type": "string" 
      }, 
      "salary": { 
      "properties": { 
       "job_allowance": { 
       "properties": { 
        "max": { 
        "type": "long" 
        }, 
        "min": { 
        "type": "long" 
        } 
       } 
       }, 
       "job_bonus": { 
       "properties": { 
        "max": { 
        "type": "long" 
        }, 
        "min": { 
        "type": "long" 
        } 
       } 
       }, 
       "job_salary": { 
       "properties": { 
        "max": { 
        "type": "long" 
        }, 
        "min": { 
        "type": "long" 
        } 
       } 
       } 
      } 
      } 
     } 
     } 
    } 
} 

データを再インデックスする必要があります。その後、クエリは予期したとおりに機能します。